End-to-End
Text Summarizer
A NLP Project to generate accurate summary from raw text using
Hugging Face's transformer model with
CI/CD deployment on AWS using Github Actions
A NLP Project to generate accurate summary from raw text using
Hugging Face's transformer model with
CI/CD deployment on AWS using Github Actions
A Streamlit app that shows if a cancer cell is of benign or malignant type. Statistical model, Logistic Regression used.
Get an customized Information Chatbot of your uploaded documents. Ask questions to retreive information.
An Image Processing pipeline designed and developed in Azure Databricks environment. Image Acquisition and Pre-processing techniques is followed by an Object Detector model (YOLO V7). The pipeline implemented had a 92% detection accuracy in detected sanitary pads.
Analysis of the usage of semiconductor etcher tools using feature extraction Self-Organizing Map (SOM). Minimum Quantization Error (MQE) and Squared Predicted Error (SPE) algorithms were used for cross validation. Principal Component Analysis(PCA) was used for Feature Reduction. Finally, a suport vector machine (SVM) algorithm to assess the extent of degradation of the tool.